Rosso Secures C Certification for AI Governance, Empowering Businesses

Rosso Achieves C Certification for AI Governance

Introduction

In a significant advancement in AI governance, Rosso Corporation has become one of the first companies to acquire the C Certification (AI Governance Core Certification) from the Japan Deep Learning Association (JDLA). This certification allows Rosso to position itself as a certified consulting firm that offers support services to help organizations efficiently establish their AI governance frameworks.

Understanding AI Governance and C Certification

As AI technologies, particularly generative AI, gain rapid traction, companies face pressing questions like, "Is it alright to utilize AI without clear usage rules and accountability structures?" Many businesses find themselves at a crossroads, either delaying AI initiatives due to fear of risks or improvising without sufficient organizational structures. This led to the creation of the C Certification by JDLA, which focuses on the essential governance frameworks necessary for effectively managing and deploying AI within an organization.

The C Certification assesses organizations based on four key indicators:
1. Understanding of AI Utilization
2. Establishment of Risk Management Teams
3. Conducting Risk Assessments
4. Implementing Risk Mitigation Strategies

This certification program aims to equip organizations with practical steps towards proper AI governance practices.

Why Rosso Prioritizes AI Governance

Founded in 2006, Rosso has been at the forefront of application development, infrastructure operations, and AI technology. Over the years, the company has repeatedly encountered a critical question: "Who is responsible for the AI?" With generative AI becoming commonplace, AI is no longer considered a special project. Its integration into application development means that decisions traditionally made by humans are now handled by AI. In the infrastructure realm, internal data pathways to external AI services must be crafted carefully. Likewise, data scientists must ensure the origins and accuracy of their training data are transparent. As these instances proliferate, the challenge of accountability becomes increasingly palpable.

Advancing AI implementations without addressing these accountability questions presents risks—not only for clients but also for Rosso itself. Conversely, refraining from embracing AI due to uncertainty leads to missed opportunities. At Rosso, the philosophy is clear: enhancing AI governance should not serve as a hindrance but as a prerequisite to accelerating AI adoption.

Another compelling reason for Rosso to emphasize AI governance is its dual role as both creator and user of AI. It is crucial that a company responsible for developing AI systems can also proficiently manage its AI utilization. To achieve certification, Rosso took a critical look at its ability to monitor its AI usage and ensure proper risk evaluation structures were in place.

Future Plans as a Certified Consulting Firm

As a recognized consulting company under JDLA, Rosso is preparing to roll out extensive support services based on the following pillars:

- Current Status Assessment: Evaluating AI tools currently in use and gap analysis against existing policies and structures.
- Governance Framework Support: Designing AI governance systems compliant with certification standards and aiding in risk assessment procedures.
- Application Preparation Support: Assisting in the proper organization of documentation needed for JDLA certification applications.
- Implementation and Operationalization: Providing technical support for continuous governance operation, covering aspects like log acquisition, access rights design, and audit trail structuring.

Note: The scope of services and initiation dates are tentative and subject to change. Updates will be provided as details are finalized.